These last few weeks of transition have been pretty busy for me. Wrapping up work at RMS (Risk Management Solutions), grading papers and attending class as a teacher’s assistant for Entrepreneurial Finance and selecting my classes for the fall have all been time consuming and exciting. Interning at RMS was such a great learning experience and working with brilliant people is the best one can hope for. It’s hard to remember what you didn’t know you didn’t know.

This is some sort of retrospective Dunning-Kruger effect, where before your had mastered knowledge you overestimated your ability, but ex post mastery you may still feel relatively unknowledgable. Thinking back to what I did not know about insurance, data, risk, earth science, cyber security, statistics, technology and even organizational behavior is difficult. That said, one summer is not enough to master any of these topics, so I really do have quite a ways to go.

Being a teacher’s assistant, however was a great opportunity to validate what I learned a year ago and check it in a roughly objective fashion. I remember dusting off my corporate finance cobwebs by going to an optional valuation session last year and this year I helped lead it! Business School level up. Nice. We had some great speakers, including Tim Hwang and Iqram Magdon-Ismail.

Finally, choosing classes has not been easy. Besides the general organizational mess of switching between schools, not receiving email notices and attempting to audit my progress to make sure I will graduate, there were just so many interesting classes to choose from! I had to drop the two business classes, Technology Entrepreneurship and Service Operations Management, both fascinating topics with smart professors, but I can’t afford to take more classes without a direct relationship to skills learned. I’ve settled on Russian, Data Mining, Bayesian Statistics, Panama Papers, Dynamics of Cyber Conflict, and GIS for International Studies. This is my first semester in a few without an engineering class, but it’s still fairly quanty. Yes quanty

End on a High Note

Without much actual data analysis to share this week, I thought I’d leave you, dear reader, with some notes I took in class and at the NYC Data Hackers meetup. I can’t recommend this meetup highly enough. Last night was at Work-Bench, a cornerstone of the NYC enterprise startup community.

Notes from the New York Open Statistical Programming Meetup:

Here’s a video of Hadley Wickham‘s fantastic talk:

(Just click the X and then play. It’s a periscope video so a bit unwieldy)